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1 n trees, linear discriminate analysis, and k-nearest neighbor).
2 m pairs at a specific Pd-Pd distance with Au nearest-neighbors).
3  Forest, Naive Bayes, Logistic Regression, K-Nearest Neighbor.
4 als interactions with the side chains of its nearest neighbor.
5 t exclusively involve properties of a node's nearest neighbors.
6 ion, whose sign depends on the number of its nearest neighbors.
7 trations, size hierarchies and the growth of nearest neighbors.
8 inished by merging small clusters into their nearest neighbors.
9 les, and small modules are merged into their nearest neighbors.
10 purity profiles prior to classification by K-nearest neighbors.
11 on in the duplex and the identity of the non-nearest neighbors.
12 s containing P*U pairs adjacent to different nearest neighbors.
13 es, linear discriminant analysis (LDA) and 3-nearest-neighbor (3NN), and for filter and wrapper featu
14         Two of the sites contained symmetric nearest neighbors adjacent to the SNPs.
15   Groups were propensity matched using a 2:1 nearest neighbor algorithm and short-term outcomes were
16 , we have several useful insights: (1) the k-nearest neighbor algorithm is an efficient and effective
17                                        The K-nearest neighbors algorithm identified 10 classifier gen
18 sity score matching was conducted by using a nearest-neighbor algorithm (1:1) to account for pretreat
19 erent machine learning approaches, including nearest neighbor algorithms, one-class classifiers, and
20 epeating units that self-interact with their nearest neighbors along the chain.
21 tions with protein residues other than their nearest neighbors along the helix.
22 mismatch, the nearest neighbors, and the non-nearest neighbors, along with the effects of the single
23 ructure, permitting a rapid search for the k nearest neighbors among {x(j)} for an arbitrary point x
24 peripheral hydrophilic subunits, we combined nearest neighbor analyses by intermolecular disulfide bo
25 e stator by use of monoclonal antibodies and nearest neighbor analyses via intersubunit disulfide bon
26 ith image segmentation, centroid mapping and nearest-neighbor analyses in open-source environments, 3
27                                              Nearest neighbor analysis based upon this element alone
28                    Subtomogram averaging and nearest neighbor analysis revealed that RuBisCO complexe
29                                              Nearest neighbor analysis revealed the presence of close
30                                     Based on nearest neighbor analysis, the addition of a single 3' d
31 nsity recovery profiling (DRP) analysis, and nearest neighbor analysis.
32                                     Finally, nearest-neighbor analysis revealed that the denser popul
33                                          One nearest-neighbor analysis showed promise in accurately i
34 se by using the Ripley K function, a type of nearest-neighbor analysis.
35 , our imputation comparisons indicate that k-nearest neighbor and singular value decomposition yielde
36 or rates computed using the Random Forest, k Nearest Neighbor and Support Vector Machine classifiers
37                                          The nearest neighbor and Voronoi domain regularity indexes a
38 imental results on 18 subjects, using both k nearest neighbors and support vector machine classifiers
39 ere evaluated: random forest, naive Bayes, K-nearest neighbors and support vector machine.
40 tionality according to the number of allowed nearest neighbors and their spatial arrangements.
41  which isolates the target cytosine from its nearest neighbors and thereby facilitates its extrusion
42  both standard 'guilt-by-association' (i.e., Nearest-Neighbor) and more refined Markov random field m
43 o the identities of the single mismatch, the nearest neighbors, and the non-nearest neighbors, along
44 ioning tree for sub-linear time searching of nearest neighbors, and then use a new multiple-pair merg
45 roportion of offspring are dropped on second-nearest neighbors, and why triplet approximation is able
46  measure spatial organization by the average nearest neighbor (ANN) method.
47                                            A nearest-neighbor approach was used to back cast the time
48 an approximative approach or a more accurate Nearest-Neighbor approach.
49 temperatures using approximative formulae or Nearest-Neighbor approaches, where one can select differ
50  optimize the local sequence identity or the nearest-neighbor approximation of the change in free ene
51                                   When their nearest neighbors are located in the tree of life, many
52 on employing dispersal to nearest and second-nearest neighbors, as well as long-distance dispersal ac
53 tion, allowing selective coupling beyond the nearest-neighbor, at separations of hundreds of nanomete
54 n of nucleotide edges for the mismatched and nearest neighbor base pairs are described and compared,
55 s, neither the identity of the bulge nor the nearest-neighbor base pairs had an effect on the influen
56  This accuracy depended upon the identity of nearest neighbor bases surrounding the CG dinucleotide.
57 ole moment when H(2) is adsorbed at the next nearest neighbor "benzene" site in MOF-74-Co.
58 in large flocks respond to a fixed number of nearest neighbors, but until now it was not understood w
59 ) pi MO is balanced by the fact that the non-nearest-neighbor, C-C interactions in (CO)(4) are antibo
60  C and C --> N) tie the helix together, with nearest-neighbor C7 rings turning the backbone so that i
61  when the particles simply "rattle" in their nearest-neighbor cages, are interrupted by abrupt "avala
62  can be attributed to the p electrons of the nearest-neighbor carbon atoms around the VSiVC divacanci
63 due to the much larger distances between non-nearest-neighbor carbons in (CO)(6) than in (CO)(4).
64 ) is that interactions between 2p AOs on non-nearest-neighbor carbons, which stabilize the a(2u) pi M
65     The proximities of specific subgroups of nearest-neighbor chains in glassy polymers are revealed
66 ctions for in silico fragmentation software, nearest neighbor chemical similarity scoring, random for
67                                By applying k-nearest neighbor classification using these learned mode
68 ed splat label were used to train a linear k-nearest neighbor classifier that learnt the color proper
69 n in a set of controlled experiments using a nearest neighbor classifier that uses PSI-BLAST similari
70 ates the resident's performance was within 1 nearest-neighbor classifier of experts after ASSET train
71 oportions of the bond-orientational order of nearest neighbor clusters in colloidal packings by stati
72 cal2a x c expansion of the nuclear cell, and nearest-neighbor Co(2+) moments couple antiferromagnetic
73 results to those of the same single mismatch-nearest neighbor combination centrally located have allo
74 odynamic contributions of 13 single mismatch-nearest neighbor combinations are reported, but only nin
75 stabilization is found for most of the other nearest neighbor combinations involving CA pairs (e.g.,
76 routine, nearest neighbor parameters for all nearest neighbor combinations of I x U pairs and an addi
77 'YRY3'/3'RYR5', and 5'RRY3'/3'YYR5' mismatch-nearest neighbor combinations, respectively, when A and
78 analysis (P < .0005) and distance to the kth nearest neighbor compared with random distributions, obt
79 rough contig-to-gene identification by BLAST nearest-neighbor comparison, and through single-contig r
80  scope of the library to include spectra of "nearest-neighbor" compounds that differ from library com
81 y applied allowing the detection of distinct nearest neighbor contacts for the HPMC-E3 rich preparati
82  A, which are attributed to C-C, C-N and C-O nearest neighbor contacts present in drug-drug interacti
83                          We found that while nearest-neighbor contacts were significant, long-range i
84 mutant cycles on base pairs having identical nearest-neighbor contexts but located in either external
85 inding densities, indicating long-range, non-nearest neighbor cooperative restriction of filament rot
86  result, spatial correlations, as assayed by nearest-neighbor correlation and functional connectivity
87                             At large doping, nearest-neighbor correlations between singly charged sit
88             Additional measurements revealed nearest-neighbor coupling in the data set are influenced
89 pin-orbital coupling or a frustrating second-nearest-neighbor coupling is expected to be a source of
90 ces, such as abc and abca, have the stronger nearest-neighbor coupling which imply the popular of per
91                          Diffusive coupling (nearest-neighbor coupling) is the most common type of co
92  state-of-the-art architectures rely on only nearest-neighbor coupling.
93 y shifts of the local carbonyl groups due to nearest neighbor couplings and environmental factors are
94 st, followed by relatively slow (mus-ms) non-nearest neighbor cross-surface electron transfer from -R
95                                          The Nearest Neighbor Database (NNDB) is a web-based resource
96 ation framework called 'Divide and Conquer k-Nearest Neighbors' (DC-kNN).
97  is unavailable, we find that the sum of the nearest neighbors' degree is a reliable local proxy for
98 include efficient algorithms for overlap and nearest neighbor detection, coverage calculation and oth
99  and strain as well as Young's moduli on the nearest neighbor distance and defect types is examined.
100      To calculate diversity, we use the mean nearest neighbor distance of crosses plotted in trait sp
101                    Cluster analyses based on nearest-neighbor distance (F, G and J-functions) and pai
102                                              Nearest-neighbor distance analysis shows that predator a
103 re more condensed with a 20% smaller average nearest-neighbor distance and a 30% higher nucleosome de
104 in multidimensional separations based on the nearest neighbor distances (NND).
105                               These included nearest neighbor distances (NNDs) between branches, the
106              Mean variabilities in measuring nearest neighbor distances were 1.93 mum (5.2%) in monke
107 r to minor axes of the best-fit ellipse) and nearest neighbor distances were calculated for each sess
108 each other by enabling quantification of the nearest-neighbor distribution of a ligand mixture in a m
109 AP solvent exposure to be distinguished from nearest neighbor effects or environmental influences on
110 eters that account for positional and/or non-nearest neighbor effects.
111 e presence of confounding influences such as nearest-neighbor effects, side-chain conformation, elect
112 ivity in a manner that extends beyond simple nearest-neighbor effects.
113             Two models account for these non-nearest-neighbor effects: one involves the unfavorable e
114 orithm that processes data sets using fast k-nearest-neighbor estimation of cell event density and ar
115 s (C-W) temperature of theta = -125 K, and a nearest-neighbor exchange coupling constant of J(NN) = -
116 ibution of the backbone to the origin of the nearest-neighbor exclusion principle.
117 lues consistent with perturbations exceeding nearest-neighbor expectations that are enthalpic in orig
118 Signal intensities measured with each gene's nearest-neighbor features were subsequently averaged to
119 robing nucleic acid targets with off-target, nearest-neighbor features.
120 ence of third-neighbor antiferromagnetic and nearest-neighbor ferromagnetic exchange interactions can
121      Affiliative interaction, proximity, and nearest neighbors for 6 captive female giraffe living in
122 )} in R(d), the algorithm attempts to find k nearest neighbors for each of x(j), where k is a user-sp
123 nd sparse discriminant analysis (SDA) with k-nearest neighbors for imputation for varying mechanism a
124 h preferential positions at first and second nearest neighbors for interstitial and substitutional Sr
125 ork topology that maximizes the regions with nearest-neighbor framework atom distances from 3 to 4.5
126 ng of transcription factor ARBORKNOX1 to the nearest neighbor genes in a pre-calculated co-expression
127 rlapping plasmonic fields emanating from the nearest-neighbor gold nanoparticle nanocarriers and crea
128  effect of each hash function encoded in the nearest neighbor graph.
129  that combines random hashing with a regular nearest neighbor graph.
130 clear geometry in which one MOPV and its two nearest neighbors have a nuclear equilibrium that differ
131 op 1-stem 2 region reveal (1) the individual nearest-neighbor hydrogen bonding (INN-HB) model provide
132 el was evaluated by comparing a drug and its nearest neighbor (i.e., a drug pair) for common indicati
133  analysis, 2 multiple-imputation models, and nearest-neighbor imputation.
134 se with 10(5) samples, GEMINI identifies the nearest neighbor in 0.05 sec compared to a brute force s
135 at the mutated position and it's ordered six nearest neighbors in the 3-dimensional (3D) protein stru
136 vidence for a peptide favoring a sterol as a nearest-neighbor in fluid bilayers.
137  revealed that both peptides favor Chol as a nearest-neighbor in liquid-disordered (ld) bilayers to t
138 e effect is expected in a 1D antiferromagnet nearest-neighbors interacting Ising chain in the presenc
139 proach allowed us to distinguish alternative nearest-neighbor interaction models, and quantifies the
140 tically a four-site square lattice with next-nearest neighbor interactions and a six-site checkerboar
141 d molecular dynamics (MD) simulations of the nearest neighbor interactions combined with a Genalized
142                                     Finally, nearest neighbor interactions segment the FORC-ridge.
143 y a simple, one-dimensional Ising model with nearest neighbor interactions.
144 product of binomial likelihoods penalized by nearest neighbor interactions.
145 ccurately described by a model consisting of nearest-neighbor interactions and additive loop and bulg
146 lo-based simulation protocol that allows for nearest-neighbor interactions between adjacent binding s
147 different sequence) reveal the importance of nearest-neighbor interactions in the emissive behavior.
148 rains are created with effectively repulsive nearest-neighbor interactions or rather evolve into such
149     Cholesterol stabilizes the L(o) state by nearest-neighbor interactions, giving rise to the appear
150 by Monte Carlo simulations on a lattice with nearest-neighbor interactions, which are derived from ex
151 B dimers including DNA bridging and possible nearest-neighbor interactions.
152 base pair also was primarily affected by non-nearest-neighbor interactions.
153 ged nucleotide was primarily affected by non-nearest-neighbor interactions.
154 econd, the branch lengths of all the simple (nearest neighbor interchange) rearrangements of a tree c
155 quid-gas critical point and described by the nearest-neighbor Ising model in three dimensions.
156                        In this study, we use nearest-neighbor "Ising" analysis of consensus TALE (cTA
157 ent modeling of class analogy (SIMCA); and k-Nearest Neighbor (k-NN) classification.
158 me identified by an alternative algorithm, k-Nearest Neighbor (k-NN) regression.
159 endent Modelling of Class Analogy (SIMCA), k-Nearest Neighbor (k-NN), Principal Component Analysis fo
160 nt Modeling of Class Analogies (SIMCA) and K-Nearest Neighbors (k-NN) were applied to the four chroma
161 hods, namely Support Vector Machine (SVM), k-Nearest Neighbors (k-NN), and Decision Tree, were employ
162 ast square discriminant analysis (PLS-DA), k-nearest neighbors (k-NN), support vector machine (SVM) a
163 classified 50.2% of the samples correctly, K-nearest neighbor (KNN) 86%, and soft independent modelin
164 factors the best available methods utilize k-nearest neighbor (KNN) algorithms to make specificity pr
165 and a vector space model-based approach, a K-Nearest Neighbor (KNN) approach and MTI] in terms of rep
166  Here we present a modified version of the K-nearest neighbor (KNN) approach which accounts for trunc
167 ther linear discriminant analysis (LDA) or K-nearest neighbor (KNN) classifiers.
168                     This approach adds the k Nearest Neighbor (kNN) graph of node attributes to allev
169 lysis into spectrofluorimeter software the k-Nearest Neighbor (kNN) Search technique was used.
170 dels for 48 GGTIs using variable selection k nearest neighbor (kNN), automated lazy learning (ALL), a
171  In all cases studied, CLPP accompanied by k-Nearest Neighbors (kNN) algorithm was found to outperfor
172 Iterative Stochastic Elimination (ISE) and k-Nearest Neighbors (kNN) approaches.
173 ast-squares discriminant analysis (PLSDA), K nearest neighbors (KNN), and support vector machines dis
174 mance of Artificial Neural Networks (ANN), K-Nearest Neighbors (KNN), Linear Discriminant Analysis (L
175 (PCA), linear discriminant analysis (LDA), k-nearest neighbors (kNN), partial least square-discrimina
176  for assisting MeSH annotation, which uses k-nearest neighbors (KNN), pattern matching and indexing r
177 ation is frequently based on a vote of the K-nearest-neighbor (KNN) haplotypes, but this technique is
178 ayer properties overall, except for the four nearest neighboring lipids, while the effect of PCB 52 i
179 f minimum substitution, mean substitution, k-nearest neighbors, local least squares regression, Bayes
180 he balance of competing interactions between nearest-neighbor magnetic moments can be directly contro
181                                      We then nearest-neighbor matched on each score in a variable rat
182 iple confounders using linear regression and nearest neighbor matching based on propensity score esti
183        These results, together with previous nearest-neighbor measurements, imply that the overall dr
184 ity is sufficient to enable the oxidation of nearest neighbor metal atoms.
185      To approach this problem, we utilized a nearest neighbor method which seamlessly integrates homo
186  combines a full-coverage but lower accuracy nearest neighbor method with higher accuracy but reduced
187 d the average distance between an LD and its nearest neighboring mitochondrion was increased.
188 al calculations reveal not only the expected nearest-neighbor Mn(III)2 exchange couplings via superex
189 ation constant that is computed with current nearest neighbor model and existing parameters, and only
190 els (the statistical regression model, the K nearest neighbor model and the modified version of the b
191 ary structure is typically predicted using a nearest neighbor model based on free energy parameters.
192 otide thermodynamic stability derived by the nearest neighbor model representation and (v) nucleic ac
193 ature with mismatches, computed based on the nearest neighbor model via an efficient fractional progr
194 ignals according to the positional dependent nearest neighbor model, which gives reasonable estimates
195   The results allow for the development of a nearest neighbor model, which improves the predication o
196 served the following: (1) In most cases, the nearest-neighbor model accurately predicted the free ene
197                        Analysis revealed the nearest-neighbor model generally predicts mismatch duple
198 c parameters with those calculated using the nearest-neighbor model was performed.
199 e position) was found in accordance with the nearest-neighbor model, where the considered configurati
200 employing principal component analysis and K-nearest neighbor modeling, we classified the time-resolv
201 ic penalty, not captured by state-of-the-art nearest neighbor models of DNA, due to the additional ov
202 hese homozygotes by T(m) even though current nearest neighbor models predict that the two homozygous
203 s Analysis (CoMSIA) and variable-selection k-nearest neighbor models, from which 3D-molecular fields
204 tic regression, multi-layer perceptron and k-nearest neighbor models.
205             Orientational correlations up to nearest neighbor molecules at about 4.3 A were observed
206  this study, a modified positional dependent nearest neighbor (MPDNN) model was constructed to adjust
207 n this paper, we describe the Multi-Source k-Nearest Neighbor (MS-kNN) algorithm for function predict
208 assification trees, discriminant analysis, k-Nearest neighbor, naive Bayes, and support vector machin
209 zation, whereas the shell was simulated as a nearest neighbor network promoting local GABAergic conne
210            We used a new approach to resolve nearest neighbor (nn) and long-range (lr) components fro
211 mise increasingly accurate recovery of RNA's nearest-neighbor (NN) free-energy parameters, but these
212 based on sequence composition, incorporating nearest-neighbor (NN) information.
213 l tool: the measure of distances between the nearest neighbors (NND).
214  Ti/Ge distribution has been deduced in next nearest neighbor (NNN) sites that surround tetrahedral P
215 r nucleotides, suggesting that the effect of nearest-neighbor nucleotides on repair of 7MeGs in the c
216  of 7MeGs by dimethyl sulfate is affected by nearest-neighbor nucleotides, being enhanced at sites ne
217          Repair of 7MeGs is also affected by nearest-neighbor nucleotides, being slow if the lesions
218 lycosylase in vitro is similarly affected by nearest-neighbor nucleotides, suggesting that the effect
219     Regardless of sensory area, random and k-nearest neighbors null graphs failed to capture the stru
220  not present in other strains, including the nearest neighbor, NZW.
221  "hybridization" between the Kondo clouds of nearest-neighbor O(2) molecules.
222 rithm for function prediction, which finds k-nearest neighbors of a query protein based on different
223 o account for interactions between the first nearest neighbors of Ca, Pb and Sb in the ternary Ca-Sb-
224 l variance together with the distance to the nearest neighbors of each structure.
225                        Correctly identifying nearest "neighbors" of a given microorganism is importan
226 asured the distance from each contact to its nearest neighbor on the same branch of dendrite.
227                                          The nearest neighbor OO distances show a characteristic patt
228 nt, mostly contributed by 2p orbitals of the nearest-neighbor oxygen atom (O(NN)) with two dangling b
229 rmodynamic dataset of single mismatches, and nearest neighbor parameters are derived for an A-U pair
230 ltaG degrees 37,loop and DeltaH degrees loop nearest neighbor parameters derived here were compared t
231 mplete linear least-squares fitting routine, nearest neighbor parameters for all nearest neighbor com
232                                              Nearest neighbor parameters for estimating the folding e
233 der to determine unique linearly independent nearest neighbor parameters for I x U pairs, four duplex
234 for 29 RNA duplexes with GU pairs to improve nearest neighbor parameters for predicting stabilities o
235 Both the experimental thermodynamics and the nearest neighbor parameters reported here can be used to
236 ssion, the entire dataset was used to derive nearest neighbor parameters that can be used to predict
237                                              Nearest neighbor parameters were derived for use in free
238 imentally measured, single mismatch-specific nearest neighbor parameters were derived.
239 sociated with the derivation of the previous nearest neighbor parameters were valid.
240 ions associated with the derivation of those nearest neighbor parameters were valid.
241 PE pseudo-free energies, in conjunction with nearest neighbor parameters, predicts the secondary stru
242 omposition to determine the eight non-unique nearest-neighbor parameters for each internal mismatch.
243 ches, where one can select different sets of Nearest-Neighbor parameters, corrections and formulae.
244 to fibrillar triple helices with at most six nearest neighbors per particle.
245 taG(Bulge) values consistent with localized, nearest neighbor perturbations arising from unfavorable
246 gh the integration of predictions from the k nearest neighbor phenologs, comparing classifiers and we
247  residues at the cleavage site (P1, P1') and nearest-neighbor positions (P2, P2') and their positiona
248 rgetically convenient for them to pair up in nearest-neighbor positions taking a D2-D2 or D2-D1 confi
249 s due to changes in energy landscape and the nearest-neighbor principle.
250 t a randomized algorithm for the approximate nearest neighbor problem in d-dimensional Euclidean spac
251 possibility of treatment selection bias, 1:1 nearest neighbor propensity score matching was performed
252 uboctahedral structure and the average first nearest-neighbor Pt-Pt bond length increases by 3%, agre
253 rate calculations of the ground state of the nearest-neighbor quantum spin S = 1/2 Heisenberg antifer
254 dding to read mapping, thus rephrasing it to nearest neighbor queries in a q-gram frequency vector sp
255                                              Nearest-neighbor recognition (NNR) measurements have bee
256                                              Nearest-neighbor recognition measurements have been made
257                                              Nearest-neighbor recognition measurements have been made
258 ons of cholesterol has been examined via the nearest-neighbor recognition method.
259 iting the nonlocal atomic interaction in the nearest neighbor region, and the nonlocal coefficient is
260 ivation that accounts for interactions among nearest-neighbor regulatory units (RUs) in a spatially e
261 alysis (matching ratio, method to choose the nearest neighbors, replacement and method for statistica
262 concentrations is cooperatively inhibited by nearest neighbors, requiring Ca(2+) binding to >25% of R
263 r and Aib's influence on the conformation of nearest-neighbor residues.
264 nd TiO2(e(-)) was followed by rapid (<20 ns) nearest-neighbor -Ru(II)OH2(2+) to -Ru(III)P(3+) electro
265 be predicted for a given RNA structure using nearest neighbor rules.
266  compose the 2004 version of the free energy nearest neighbor rules.
267 he benefits of variance and distance between nearest-neighbor(s) minimization, providing a solution f
268 es this space using an efficient index-aware nearest neighbor search method based on locality sensiti
269                          GEMINI implements a nearest-neighbor search algorithm using a vantage-point
270 ongest synapse onto the target neuron in the nearest neighboring segment.
271 30 most frequently occurring single mismatch-nearest neighbor sequence combinations found in experime
272 ble group I single-nucleotide bulge loop and nearest-neighbor sequence combinations.
273  We have found that a mismatch embedded in a nearest-neighbor sequence context containing symmetric 3
274 l, hidden Markov model, logical algorithm, k-nearest neighbor, single value decomposition, and random
275 its offspring evenly over nearest and second-nearest neighboring sites.
276  and 420 K reveals emerging asymmetry in the nearest-neighbor Sn-Br correlations, consistent with dyn
277 , we describe a novel algorithm named shared nearest neighbor (SNN)-Cliq that clusters single-cell tr
278  Dicke-Ising model with an antiferromagnetic nearest-neighbor spin-spin interaction in circuit QED wi
279 photon interaction and the antiferromagnetic nearest-neighbor spin-spin interaction, and then predict
280 mic and experimental parameters that include nearest neighbor stacking energies, loop entropy effects
281 els of binding affinity, which depend on the nearest-neighbor stacking interactions in addition to ba
282 otein from Bacillus stearothermophilus using nearest-neighbor statistical thermodynamic models.
283 nt crystal in which the P atoms form a third-nearest-neighbor sublattice and "In-P" dimers are orient
284 ing Diagonal Linear Discriminant Analysis, k-Nearest Neighbor, Support Vector Machine and Random Fore
285           Classification methods including k-nearest neighbors, support vector machines (SVM) and k-M
286  dynamics of plug trains: Interactions among nearest neighbors take place through the wetting films a
287      SNN-Cliq utilizes the concept of shared nearest neighbor that shows advantages in handling high-
288 scribing the population of distances between nearest neighbors: the lengths (di(o)) of distances and
289 nucleotide-melting temperatures, including a nearest-neighbor thermodynamic model for melting tempera
290  prediction methods depend on the underlying nearest-neighbor thermodynamic model remains a fundament
291         K-function tests were repeated using nearest neighbor thresholds to adjust for variations in
292  in immunocompromised individuals and is the nearest neighbor to the causative agent of tularemia and
293 d distance (metric range), a fixed number of nearest neighbors (topological range), a 'shell' of near
294                                        These nearest-neighbor values are now a part of a complete set
295       However, when one or both of the bulge nearest neighbors was a wobble base pair, the free energ
296                        The distances between nearest neighbors were calculated in resolution scaled a
297 ine learning algorithms, Random Forest and K-nearest neighbor, were used.
298 CA pair forms at pH 7 in the CG/AA and CA/AA nearest neighbors when the CA pair is the first noncanon
299                        These CG/AA and CA/AA nearest neighbors, with CA adjacent to a closing Watson-
300 vely, which considers the number of magnetic nearest-neighbors (z).

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